PROJECTS & APPLIED RESEARCH

Built with purpose.
Engineered through practice.

A comprehensive portfolio of full-stack web platforms, connected IoT telemetry networks, and empirical research testbeds built for real-world reliability.

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06SOFTWARE PLATFORMS
04RESEARCH TRACKS
01PAMERKOM 1ST PRIZE
01 / ENGINEERING & SYSTEMS

Selected Work & Systems

Filter by technical category or search stack technologies.

8 projects
PAMERKOM Winner 01 / EDU-TECH

PSM E-Learning Management System

Full-stack learning platform engineered with role-based access control, Paystack payment processing, dynamic assessments, and automated QR-code certificate verification.

Java JSP / Servlets MySQL Docker Paystack API
Connected Systems 02 / IOT

Smart Campus IoT Station

Microcontroller telemetry network streaming environmental and security sensor data from a Raspberry Pi Pico W over MQTT to live cloud dashboards.

Pico W MicroPython MQTT ThingSpeak AHT20 / PIR
Enterprise Healthcare 03 / ENTERPRISE

PKU Healthcare Management System

Clinic management platform organizing patient medical records, appointment scheduling, dispensary inventory, and billing workflows with relational data integrity.

Java JSP / Servlets MySQL Apache Tomcat
REST API Integration 04 / WEB

WeatherHub Live Weather Intelligence

Responsive meteorological web application querying live weather data via OpenWeather REST APIs with dynamic condition states and local search caching.

JavaScript OpenWeather API CSS Glass Firebase
Full-Stack Application 05 / SPRING

MasakJerr! Culinary Sharing Platform

Recipe management web application structured around complete CRUD workflows and user-generated recipes, engineered with Spring Boot, JPA, and MySQL storage.

Spring Boot Java JSP MySQL
Sports Web Platform 06 / WEB

Elite Soccer Feed

Modern sports news and live matchday tracking concept featuring responsive grid layouts, athlete profiles, and real-time tournament fixture presentation.

HTML5 Modern CSS JavaScript Vercel
Cybersecurity ML 07 / RESEARCH

AI Network Anomaly & Intrusion Detection

Machine learning classification pipeline analyzing network telemetry data, addressing severe class imbalance in malicious traffic, and suppressing false positive alarms.

Python Scikit-Learn Anomaly Detection Telemetry
Edge Intelligence 08 / RESEARCH

Edge Telemetry Compression & Protocol Efficiency

Empirical study comparing data compression and lightweight filtering algorithms across low-power microcontrollers using MQTT/TLS protocols under constrained bandwidth.

MicroPython MQTT/TLS Data Compression Edge Computing
STATUS: Showing all 8 projects
02 / EMPIRICAL INVESTIGATION

Research Directions & Testbeds

Turning theoretical machine learning and edge telemetry into testable, dependable tools.

Methodological Foundation Formulating concrete hypotheses, benchmarking against rigorous baselines, evaluating across noisy real-world data distributions, and measuring practical latency.
01 / PREDICTIVE ML

Applied Machine Learning & Prediction

Evaluating how learning-based models enhance decision support, predictive maintenance, and tabular data classification when constrained by noisy real-world conditions.

Model Benchmarking Feature Engineering Explainability
02 / CYBERSECURITY

AI for Anomaly & Intrusion Detection

Investigating machine learning pipelines for network telemetry analysis, handling extreme class imbalance in malicious traffic, and mitigating adversarial false positives.

Intrusion Detection Imbalanced Learning Threat Detection
03 / TRUSTWORTHY SYSTEMS

Trustworthy & Verifiable Learning Systems

Studying methods for human-in-the-loop validation, cryptographic credential verification, and transparent feedback mechanisms in automated educational platforms.

Human Oversight QR Verification Explainable Feedback
04 / EMBEDDED EDGE

IoT & Edge Intelligence

Analyzing telemetry compression, lightweight filtering algorithms, and low-power protocol efficiency (MQTT/TLS) across microcontroller sensor clusters.

Sensor Networks Edge Computing MQTT Protocol
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